91 computer-programmer-"https:"-"https:"-"UNIS"-"https:"-"https:"-"https:"-"https:" positions at Monash University
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/scholarships/scholarship-policy-and-procedures The Opportunity This PhD scholarship forms part of a collaborative research program on digital transformation, data practices, and everyday life in Indonesia
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Computational simulations are now widely employed to study the behaviour of social systems, examples being market behaviours, and social media population behaviours. These methods rely heavily
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This project draws on a recent Dagstuhl Seminar (https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=18322) that brought together leading experts from industry and academia, including those who
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be some flexibility as to the specific date of commencement. Enquiries You are required to discuss your research proposal with Dr Louise Devenish (Graduate Research Program Director), Sir Zelman Cowen
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science to improve health outcomes for women and their families in public healthcare settings. Your PhD research will form part of a wider research program focused on implementing lifestyle improvement
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and data-driven insight. Your work will span engineering design and testing, laboratory and field experimentation, trial coordination, advanced data analysis, and research administration. You will plan
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across academia and industry. This position forms part of a major national program in Australian green ironmaking and will utilise Monash’s world-class analytical capabilities and pilot-scale facilities
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analytical imaging methods, then working with collaborators to apply these methods to biomedical research, diagnostic imaging and beyond. Research projects vary from purely theoretical, to computational
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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"A picture is worth a thousands words"... or so the saying goes. How much information can we extract from an image of an insect on a flower? What species is the insect? What species is the flower? Where was the photograph taken? And at what time of the year? What time of the day? What was the...